Learning from science news via interactive and animated data visualizations: an investigation combining eye tracking, online survey, and cued retrospective reporting

Autor: Greussing, Esther, Kessler, Sabrina Heike, Boomgaarden, Hajo G.
Přispěvatelé: University of Zurich, Greussing, Esther
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Popis: Relying on a multimethod approach with eye tracking, cued retrospective reporting, and a memory test, this experimental study ( N = 45) shows how individuals engage with static, interactive, and interactive-animated data visualizations embedded in online science news. The results suggest that interactivity and animation engage participants most strongly: The second part of the news article is fixated the longest by participants exposed to the interactive-animated visualization, which translates into higher learning outcomes. However, the dynamic process of news reception requires a nuanced understanding of how users attend to visual and textual parts of a message to make informed statements about their effectiveness.
Databáze: OpenAIRE